Table Recognition and Recovery in the Camera-Captured Image with Complex Background
Guiyang Xie, Yirong Mao, Zifan Nan, Shizhe Wang, Yue Li, Wei Wang · Advances in engineering research/Advances in Engineering Research · 2015
With the development of OCR techniques, people start to use image processing methods to analyze and process the image-type documents (typically scanned images) for obtaining the information of characters and the layout.On the other hand, table, draw relatively less attention in OCR even it is an important writing structure containing plenty of classified massages in special format.This paper comes up with an innovative method aiming to detect, recognize and recover the table on a camera-capture image with complicated background.This method mainly includes the preprocessing, binarization and edge detection of the image, together with the detection of cells, as well as the analysis and recovery of table structure.In practical experiments, Emgu CV is employed to achieve more accurate result with better efficiency.